Author

Jidon Jang

Korea Research Institute of Chemical TechnologyORCID 0009-0002-3520-9878Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Jae Yong RyuiD· 1 shared Kwang‐Seok OhiD· 1 shared Nam‐Chul ChoiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Jae Yong RyuORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintOct 7, 2026

PredHLM: quantitative and interpretable prediction of metabolic half-life in human liver microsomes

Jidon Jang, Nam‐Chul Cho, Jae Yong Ryu, Kwang‐Seok Oh

PredHLM predicts metabolic half-life in human liver microsomes using a quantitative machine learning model, achieving RMSE 0.507 and R2 0.431 on a test set.

DOI 10.64898/2026.07.02.736062

humanmachine learning (classical)

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